About the position
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.
Responsibilities
- Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large distributed components that run Meta.
- Build new features and improve existing products.
- Work on problems of moderate scope, push code, drive the development of the systems behind Meta's products.
- Create web applications that reach billions of people, build high volume servers, and be a part of a team to connect people around the globe.
- Develop a strong understanding of relevant product area, codebase, and/or systems.
- Demonstrate proficiency in data analysis, programming and software engineering.
- Produce high quality code with good test coverage, using modern abstractions and frameworks.
- Receive general instructions on routine work and detailed instructions on new projects or assignments, work independently, use available resources to get unblocked, and complete tasks on schedule by exercising strong judgement and problem solving skills.
- Master Meta’s development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
- Actively seek and give feedback in alignment with Meta’s Performance Philosophy.
Requirements
- Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Computational Neuroscience or related field.
- Requires completion of a university-level course, research project, internship, or thesis in the following: 1. Research-oriented software engineering skills (Python, SciPy ecosystem, Pandas) 2. Proficiency with quantitative methods (mathematics, statistics) and rapid learning of new technical knowledge 3. Proficiency in designing engineering solutions informed by research needs 4. Experience in data analysis, especially on large multimodal data sets 5. Exposure to large scale software applications and interdisciplinary collaboration.
